Metadata-Version: 1.1
Name: asrassessment
Version: 0.0.7
Summary: Provides Phoneme Error Rate & Visualisation Assessment
Home-page: UNKNOWN
Author: Jonathan Lim
Author-email: Jonathanlimws@gmail.com
License: MIT
Description: Author: Jonathan Lim Wei Siang 
        Email: Jonathanlimws@gmail.com 
        
        # Main Function
        This Python package allows you to assess the phonetic error rate and visualise them.
        
        # Workflow of package
        1. TIMIT file is loaded 
        2. ASR Model converts audio.wav file into phoneme string
        3. ASR Phoneme string is standardized to TIMIT standard to allow for comparison 
        4. Phonetic Error Rate is generate 
        
        ## Additional
        Noise can be added to audio.wav fiel to test the ASR model and step 2-4 is repeated
        
        # Types of Plots
        1. Boxplot of accuracy rate for each phoneme across selected TIMIT files 
        2. Stacked boxplot of accuracy rate across varying added noise 
        3. Time/frequency Plot any given TIMIT audio showing the timing/phoneme which was incorrected predicted (substitution and deletion only)
        ![alt text](/Users/jonathanlim/Desktop/Code_2022/ASR_Assessment/Screenshot 2022-08-12 at 16.57.12.png?raw=True)
        
        
        # Requirements
        TIMIT file: TIMIT is a corpus of phonemically and lexically transcribed speech of American English speakers of different sexes and dialects
        link: https://en.wikipedia.org/wiki/TIMIT
        
Keywords: ASR
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: MacOS
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
